AI Analysis
The package presents minimal direct risks, but the maintainer's incomplete profile and single-package history raise concerns about potential supply-chain risks.
- Incomplete maintainer profile
- New maintainer account with only one published package
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package is expected to interact with external services like AWS.
- Shell: No shell execution patterns detected, reducing risk of direct system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has an incomplete profile and a new account with only one package, which raises some suspicion but not enough to definitively conclude malice.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (288 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validatorSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository CoreOxide/aws_resource_validator appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a real-time video streaming quality checker using the 'aws-resource-validator-ivs' package. This tool will help users verify the integrity and quality of their live streams on Amazon Interactive Video Service (IVS). The application should allow users to input the IVS channel ARN and then check various aspects of the stream such as resolution, bitrate, and frame rate against predefined standards. ### Steps to Develop: 1. **Setup**: Install necessary packages including 'aws-resource-validator-ivs', boto3 for AWS SDK, and fastapi for the web framework. 2. **Model Definition**: Use 'aws-resource-validator-ivs' to define Pydantic models for IVS resources like channels and streams. Ensure these models include validation rules based on the standards you set. 3. **API Development**: Create an API endpoint using FastAPI where users can submit an IVS channel ARN. 4. **Validation Logic**: Implement logic within the API to validate the submitted channel against your predefined standards using the defined models from 'aws-resource-validator-ivs'. 5. **Response Generation**: Formulate a response detailing whether the stream meets the quality criteria and provide suggestions for improvement if it does not. 6. **Testing**: Test the application thoroughly to ensure all validations work as expected and the user interface is intuitive and informative. ### Suggested Features: - **Dynamic Standard Setting**: Allow users to customize the validation standards based on their specific requirements. - **Real-Time Monitoring**: Integrate functionality to monitor the stream continuously and update the status in real-time. - **Detailed Reports**: Provide comprehensive reports summarizing the validation results, including graphs and charts for visual analysis. - **Alert System**: Set up alerts for when a stream fails to meet quality standards during monitoring. ### Utilization of 'aws-resource-validator-ivs': This package will be primarily used to define and validate the structure of IVS resources through its Pydantic models. It ensures that the data related to IVS channels and streams adhere to specific formats and constraints, facilitating accurate and efficient validation processes.
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